The area-based registration methods, also called intensity-based methods, register images by directly using correlation of pixel values, mutual information, or transform domain of the image pairs. Usually, the global image or a predefined local window is used to search for matching [1]}. By establishing the similarity relationship of the original pixel values [2]}, [3]}, statistical properties [4]}, [5]}, [6]}, or transform domain, such as Fourier transformation [7]}, [8]}, and wavelet transformation [9]}, the optimal spatial transformation model between the image pairs is found through parameter optimization methods. The advantage of the area-based methods lies in high registration accuracy, but the drawbacks are particularly obvious. The drawbacks of the area-based methods mainly lie in three aspects.
